1. With
Hafiz Syed Muhammad Rafi

2. Introduction to Image:
Fundamentals
Introduction to Image:
Image as matrix
Image Type
Image Class
Image Size
Image Resolution
Read:
kid=imread('kid02.jpg');
Image Info:
info=imfinfo('kid02.jpg'); or
whos kid;
[r c]=size(kid);
Display:
figure;
imshow(kid);

3. Conversion of Class and Type:
Write on Disk:
imwrite(kid,'kid02gray.png');
imwrite(kid,'kid02gray.jpg’,’quality’,75); % (0:100)
imwrite(kid,'kid02gray.tif’,’compression’,’none’,‘resolution’,[m n]);
Conversion of Class and Type:
B=logical(A);
C=im2bw(T);
F=Im2double(g);
G=im2uint8(H);
Image Arithmatic:
C=imadd(A,B); C=imsubtract(A,B);
C=immultiply(A,B); C=imdivide(A,B);
C=imabsdiff(A,B); C=imcomplement(A); 3

4. Image Flipping and Sizing:
C=F(end:-1:1,:);
C=F(:, end:-1:1);
C=F(1:2:end,1:2:end);
Image Cropping:
C=F(50:end-20, 50:end-40);
Pixel Information Direct:
impixelinfo;
imdistline;
Color Image to Gray:
C=rgb2gray(F);

5. Spatial Domain Processing
Histograms
H=imhist(A,nbins);
H=imhist(A,nbins)/numel(A); % normalized histogram
H=histeq(A,nbins);
% histogram equalization
I = imread('pout.tif');
imhist(I)
I2 = histeq(I);
imhist(I2)
Figure, imshow([I I2])

6. END
MS Image Processing 6